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Deep Learning: A Review for the Radiation Oncologist
Frontiers in Oncology, 2019 Introduction: Deep Learning (DL) is a machine learning technique that uses deep neural networks to create a model. The application areas of deep learning in radiation oncology include image segmentation and detection, image phenotyping, and radiomic ...
Luca Boldrini +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small +3 more
wiley +1 more source
Rapid, ultra low coverage copy number profiling of cell-free DNA as a precision oncology screening strategy. [PDF]
, 2017 Current cell-free DNA (cfDNA) next generation sequencing (NGS) precision oncology workflows are typically limited to targeted and/or disease-specific applications.
Alva, Ajjai S +31 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
, 2019 Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host genetic material (DNA and RNA) in samples from patients, is rapidly moving from research to clinical laboratories. This emerging approach is changing
Chiu, Charles Y, Miller, Steven A
core
Stereotactic Radiosurgery Practice Patterns for Brain Metastases in the United States: A National Survey [PDF]
, 2018 Background: Stereotactic radiosurgery (SRS) has emerged as an important modality for the treatment of intracranial metastases. There are currently few established guidelines delineating indications for SRS use and fewer still regarding plan evaluation in
Bhamidipati, Deepak +7 more
core +2 more sources
Head and neck cancer in Africa
South African Journal of Oncology, 2019 Management is a combination of surgery, chemotherapy and radiotherapy. Published guidelines are available for the developed world, but there are no official guidelines for Africa.
Sameera Dalvie
doaj +1 more source
Non-Interventional Observational Analysis of the Clinical Outcomes with IO-FIVE (Immune-Oncology Fast In Vivo Efficacy Test) in Lymphoma Patients [PDF]
, 2023 Chanjuan Jin +9 more
openalex +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source